Multi-objective optimal design of truss structure with immune algorithm

An algorithm for finding constrained Pareto-optimal solutions based on the features of a biological immune system is proposed. Inter-relationships within the constrained multi-objective immune algorithm (CMOIA) resemble antibody–antigen relationships in terms of specificity, germinal center, and the...

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Bibliographic Details
Published in:Computers & structures 2004-05, Vol.82 (11), p.829-844
Main Authors: Luh, Guan-Chun, Chueh, Chung-Huei
Format: Article
Language:English
Subjects:
Biological immune system
Constrained multi-objective immune algorithm
Constrained Pareto-solutions
Multi-objective optimization, truss optimization
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Summary:An algorithm for finding constrained Pareto-optimal solutions based on the features of a biological immune system is proposed. Inter-relationships within the constrained multi-objective immune algorithm (CMOIA) resemble antibody–antigen relationships in terms of specificity, germinal center, and the memory characteristics of adaptive immune responses. Gene fragment recombination and several antibody diversification schemes were incorporated to improve the balance between exploitation and exploration. Moreover the concept of cytokines is applied for handling constraints. The effectiveness of CMOIA is evaluated through six test functions and two well-known truss sizing optimization problems. The results indicate that the CMOIA provides better performance than other methods.
ISSN:0045-7949
1879-2243
DOI:10.1016/j.compstruc.2004.03.003